Wed Nov 10 PST (27 days ago)
In your timezone (EST): Wed Nov 10 1:00pm - Wed Nov 10 8:00pm
Racial inequity in personal finance is a persistent, pernicious problem for credit unions committed to serving their communities. Yet status quo credit scores, modeling approaches, and data leave lenders unable to address gaps in credit access and wealth building. AI-driven lending promises the ability to reduce bias and disparate outcomes, but also raises questions for regulators and fair lending teams.
Hear from Valerie Moss, Senior Director of Compliance Analysis at Credit Union National Association on the rules and regulations - current and pending - that can impact lending.
Then engage with Teddy Flo, Chief Legal Officer at Zest AI, as he addresses several questions including:
• What are regulators focused on when it comes to lending with AI?
• How does machine learning identify underlying drivers and disparity?
• Can software help automate analysis and compliance documentation?
• What is necessary for accurate adverse action notices when using AI?
• How does new technology support collaboration between credit risk, modeling, and fair lending teams?
General Counsel, Zest AI
Senior Director of Compliance Analysis, Credit Union National Association